A two-stage error-propagation framework for photogrammetric point-cloud uncertainty that adds a self-supervised regression step for disparity uncertainty in the multi-view stereo stage using reliable n-view points.
Select -and-Combine (SAC): A Novel Multi -Stereo Depth Fusion Algorithm for Point Cloud Generation via Efficient Local Markov Netlets,
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Uncertainty Quantification Framework for Aerial and UAV Photogrammetry through Error Propagation
A two-stage error-propagation framework for photogrammetric point-cloud uncertainty that adds a self-supervised regression step for disparity uncertainty in the multi-view stereo stage using reliable n-view points.